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Computational Neuroscience Journal Club

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  • UserKris Jensen and David Liu
  • ClockTuesday 06 October 2020, 15:00-16:30
  • HouseOnline on Zoom.

If you have a question about this talk, please contact Jake Stroud.

Please join us for our fortnightly journal club online via zoom where two presenters will jointly present a topic together.

Zoom information: https://us02web.zoom.us/j/84612479602?pwd=RVMrbjRLWVlBM2pndE9VbWVJWWlGZz09 Meeting ID: 846 1247 9602 Passcode: 552142

The next topic is ‘Hippocampal/entorhinal representations of non-spatial maps’:

The hippocampal formation has long been known to encode two-dimensional space using a representation of place cells in the hippocampus and grid cells in entorhinal cortex. However, recent experimental and theoretical work has suggested that these regions can also represent non-spatial maps and variables. We will start by giving a brief overview of place and grid cells and how they encode space. We will then proceed to discuss extensions to high-dimensional and non-spatial variables, focusing on the following three papers:

Efficient and flexible representation of higher-dimensional cognitive variables with grid cells. Klukas et al., PLOS Computational Biology (2020).

Mapping of a non-spatial dimension by the hippocampal-entorhinal circuit. Aronov et al., Nature (2017).

The Tolman-Eichenbaum Machine: Unifying space and relational memory through generalisation in the hippocampal formation. Whittington et al., bioRxiv (2019).

Additional background reading for those interested:

What Grid Cells Convey about Rat Location. Fiete et al., Journal of Neuroscience (2008).

Organizing conceptual knowledge in humans with a gridlike code. Constantinescu et al., Science (2016).

This talk is part of the Computational Neuroscience series.

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